GENERATING RECOMMENDATIONS USING A HIERARCHICAL STRUCTURE

摘要

Apparatuses, computer readable medium, and methods are disclosed for generating job recommendations using a hierarchical Bayesian structure. The method of generating job recommendations includes determining, by at least one hardware processor, first regression coefficients and first hidden feature vector jointly for a first layer based on a member's view behavior, and the member's profile. The method further includes determining, by the at least one hardware processor, second regression coefficients and second hidden feature vector jointly for a second layer based on the first regression coefficients, the first hidden feature vector, and the member's application behavior. The method further includes determining, by the at least one hardware processor, a job recommendation based on one or more job profiles, the first regression coefficients, first hidden feature vector, second regression coefficients, and second hidden feature vector.